The 22nd Australasian Data Science and Machine Learning Conference (AusDM'24)

Melbourne, Australia | 25-27 November 2024

Call For Participation: AusDM24 Doctoral Consortium

The doctoral consortium (DC) of AusDM24 aims to provide Early Career Researchers (ECRs) and PhD students with the opportunity to meet, receive feedback on their research from established experts, and interact closely with their peers. Beyond valuable feedback, the consortium offers participants new contacts and great networking opportunities.

We do not expect you to have addressed all research questions, nor expect you to have completed the PhD. However, you should show an understanding of your research area and have a clear plan for addressing your research goals. This consortium is ideal for discussing your research questions with experienced researchers and fellow students to receive informed feedback.

PhDs and ECRs with an accepted paper at the main AusDM2024 conference are also encouraged to attend the DC session. The event is planned to be an in-person event in RMIT, Melbourne, Australia.

Invited Speakers:

This year’s Doctoral Consortium offers an exceptional platform for ECRs and PhDs to engage in networking and peer learning opportunities. In conjunction with the main conference, we are pleased to announce the participation of distinguished Keynote Speakers from both academia and industry. Our esteemed guests will provide invaluable insights, sharing their journeys from Ph.D. to ECR, discussing the role of women in data science and artificial intelligence, and offering guidance on navigating a successful career in industry post-Ph.D.

Feng Liu

Doctor Feng Liu

The University of Melbourne, Australia

Lin Yue

Doctor Lin Yue

The University of Adelaide, Australia

Tahereh Pourhabibi

Doctor Tahereh Pourhabibi

intelia, Australia

Submission Guidelines

Submissions should be at most 2 pages long plus a possible 1 page only for references and prepared with the Word/LaTeX template. The submission should include:

  • Title of PhD proposal

  • Name of first author (must be PhD student)

  • Name(s) of other co-author(s) (could be ECR(s) and/or supervisor(s))

  • The problem definitions, motivations, and novelties

  • The current development and related work

  • Your proposed approach and methodology, and the significance

  • The current results and future work of your research

  • Expected study contributions to research and practice

The proposal must be submitted in PDF format using the AusDM EasyChair System.

The Submission Link is HERE.

Or copy this to your browser: https://easychair.org/conferences/?conf=ausdm24

Publication

Selected submissions will be invited to submit their fully developed manuscripts to Data Science and Engineering, Scimago Q1 journal published by Springer, for expedited publication in 2025. Please stay tuned for the invitation email.

Important Dates

  • Submission deadline: 18 August 2024 1 September 2024

  • Notification of Acceptance:15 September 2024 29 September 2024

  • Consortium date: 27 November 2024 (tentative)

All accepted proposals are required to be presented at the Doctoral Consortium.

Contact Us

If you have any questions regarding the submission process, please email the following Doctoral Consortium Chairs via ausdm2024@googlegroups.com and include "AusDM24 Doctoral Consortium" in the subject line.

  • Weijia Zhang, University of Newcastle, Australia

  • Pei-Wei Tsai, Swinburne University of Technology, Australia